Real-time AI Character Control: A Deep Dive into AITuber Systems with Hidden State Manipulation
Analysis
This article details an innovative approach to AITuber development by directly manipulating LLM hidden states for real-time character control, moving beyond traditional prompt engineering. The successful implementation, leveraging Representation Engineering and stream processing on a 32B model, demonstrates significant advancements in controllable AI character creation for interactive applications.
Key Takeaways
Reference
“…using Representation Engineering (RepE) which injects vectors directly into the hidden layers of the LLM (Hidden States) during inference to control the personality in real-time.”